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Hands-On Artificial Intelligence for Cybersecurity

You're reading from Hands-On Artificial Intelligence for Cybersecurity

Product type Book

Published in Aug 2019

Publisher Packt

ISBN-13 9781789804027

Pages 342 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Alessandro Parisi

Table of Contents (16) Chapters

Preface

1. Section 1: AI Core Concepts and Tools of the Trade

2. Introduction to AI for Cybersecurity Professionals

3. Setting Up Your AI for Cybersecurity Arsenal

4. Section 2: Detecting Cybersecurity Threats with AI

5. Ham or Spam? Detecting Email Cybersecurity Threats with AI

6. Malware Threat Detection

7. Network Anomaly Detection with AI

8. Section 3: Protecting Sensitive Information and Assets

9. Securing User Authentication

10. Fraud Prevention with Cloud AI Solutions

11. GANs - Attacks and Defenses

12. Section 4: Evaluating and Testing Your AI Arsenal

13. Evaluating Algorithms

14. Assessing your AI Arsenal

15. Other Books You May Enjoy

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Playing with Jupyter Notebooks

Among the most useful tools for the developer, there is undoubtedly the Jupyter Notebook, which allows, in a single document, the integration of both the Python code and the result of its execution, including images and graphics. In this way, it is possible to receive immediate feedback on the development activity in progress, managing the various phases of programming in an iterative manner.

Inside the Jupyter Notebook, it is possible to recall the various specific libraries installed in a custom environment. Jupyter is a web-based utility, so to run the notebook you need to run the following command:

jupyter notebook

It is also possible to specify the listening port of the service, using the port parameter:

jupyter notebook --port 9000

In this way, the service will be started on the listening port 9000 (instead of the default 8888).

Jupyter is...

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Authors (1)

Alessandro Parisi

Alessandro Parisi has been an IT professional for over 20 years, acquiring significant experience as a Security Data Scientist, and as an Artificial Intelligence Cybersecurity and Blockchain specialist. He has experience of operating within organizational and decisional contexts characterized by high complexity. Over the years, he has helped companies to adopt Artificial Intelligence and Blockchain DLT technologies as strategic tools in protecting sensitive corporate assets. He holds a Master Degree in Economics and Statistics.

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